An efficient procedure for feature selection for generalized linear models with L0 penalty, including linear, logistic, Poisson, gamma, inverse Gaussian regression. Adaptive ridge algorithms are used to fit the models.
l0ara fits regularization for linear or generalized linear models with L0 penalty. Adaptive ridge algorithms are used to fit the models.
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